Software Engineer Product Integration Platform

AI platform for creating, deploying, and managing full-stack software through natural-language interaction.

Series CRecently funded0 current maintainers0 active leads
Stockholm, Sweden
About Lovable

Lovable lets people describe an idea in plain language and collaboratively build production-grade software. Its platform includes hosting, authentication, payments, integrations, security features, and deployment infrastructure.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will build and scale integrations that connect applications and AI agents with third-party services and AI model providers. You will create intuitive product experiences, evolve reliable backend services and infrastructure, use feedback and product data to improve adoption, and take features from concept through production.

Requirements

  • 5+ years of experience building and shipping full-stack software products
  • Strong product intuition focused on feature adoption, developer ergonomics, and user satisfaction
  • Experience with modern frontend frameworks, design systems, and product analytics
  • Commitment to service reliability and high-quality user experiences
  • Ability to work across user-facing products, services, and infrastructure

Responsibilities

  • Build integrations with third-party services and AI model providers
  • Create user-facing experiences for discovering, configuring, and using integrations
  • Improve integration usage and adoption using user feedback and product data
  • Identify opportunities to expand third-party service support
  • Enable AI agents with dynamic integrations and inter-application connectivity
  • Build and evolve scalable backend services and infrastructure
  • Ensure service reliability and improve user experience
  • Collaborate to deliver features from idea to production

Hiring Process

Short application form → introductory recruiter call → live coding exercise → several technical interviews → project discussion → final leadership interviews.